OOD Detection on Stanford Cars Coarse-grained OOD
100TNR@95EnergyOE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| EnergyOEAuxiliary Outlier Data=true2026.06 | 100 | 100 | |
| DFDNet (MixOE-cut)Auxiliary Outlier Data=true2026.06 | 100 | 100 | |
| VIMAuxiliary Outlier Data=false2026.06 | 99.9 | 99.9 | |
| OEAuxiliary Outlier Data=true2026.06 | 99.9 | 100 | |
| OE-MAuxiliary Outlier Data=true2026.06 | 99.9 | 100 | |
| MixOE-cutAuxiliary Outlier Data=true2026.06 | 99.9 | 99.9 | |
| MixOE-lineAuxiliary Outlier Data=true2026.06 | 99.8 | 99.6 | |
| ScaleAuxiliary Outlier Data=false2026.06 | 99.7 | 99.9 | |
| EnergyAuxiliary Outlier Data=false2026.06 | 99.4 | 99.7 | |
| ODINAuxiliary Outlier Data=false2026.06 | 98.8 | 99.5 | |
| DFDNet (MSP)Auxiliary Outlier Data=false2026.06 | 92.8 | 98.4 | |
| RotationAuxiliary Outlier Data=false2026.06 | 89 | 98 | |
| MSPAuxiliary Outlier Data=false2026.06 | 87.4 | 97.7 | |
| PRO-MSPAuxiliary Outlier Data=false2026.06 | 86.6 | 97.4 |